code: def save_random_states(
      f: Union[str, os.PathLike, BinaryIO, IO[bytes]]
  ):
      """
      Save Python, Numpy and Pytorch's (both CPU and GPU) random states.
  
      Args:
          f (Union[str, os.PathLike, BinaryIO, IO[bytes]]): a file-like object (has to implement write and flush) or
              a string or os.PathLike object containing a file name.
      """
      torch.save(
          dict(
              cpu=torch.get_rng_state(),
              cuda=torch.cuda.get_rng_state_all(),
              numpy=np.random.get_state(),
              python=random.getstate(),
          ),
          f,
      )
  
imports: import contextlib
  import numbers
  import os
  import random
  import warnings
  from typing import IO, Any, BinaryIO, Optional, Union
  import numpy
  import torch
  from torch.nn.utils.rnn import PackedSequence
  from torch.utils.data import Dataset
  from poutyne.warning_manager import warning_settings
label_desc: Use image node_id 10 for calling a global function with example usage: save_random_states(f) without return types